Revelyst

Revelyst

Demand Planner

Irvine, CA

Sponsorship not specified$83k-$90kDetected 30 days ago
Data VisualizationForecastingBudgetingExcelSAPSupply ChainLeadershipCommunicationProblem SolvingS&OPDemand Planning

About the role

  • This role is focused on executing the responsibilities for Demand Planning process.
  • In addition, this position will regularly monitor, update, and message demand.
  • This position will also be the subject matter expert of Demand KPIs used to communicate forecast accuracy and alignment to Financial and corporate targets set (budget / latest operating plan).

Responsibilities

  • This position leads the dialogue with Sales and Product Marketing in analyzing the business to understand our customer, manage and strategize ways to create new demand.

Requirements

  • Must be proficient in toggling between the minute details and the high-level perspective with the ability to interpret and communicate the impact to the business
  • Monthly Meetings - Attend all required monthly planning and Merchandising meeting.

Nice to have

  • Familiarity with supply chain operations, S&OP processes.
  • BS/BA in relevant field including Economics, Finance, Math or Business, MBA preferred.
  • Minimum 3-5 year of experience in Planning / Analytics function
  • High functional competency in Logility and Oracle

Compensation

  • The actual annual salary offered to a candidate will be based on variables including experience, geographic location, education, and skills/achievements, and will be mutually agreed upon at the time of offer.
  • We offer a highly competitive salary, comprehensive benefits including:
  • Annual Salary: $83,400.00 - $90,000.00

Benefits

  • medical and dental, vision, disability and life insurance, 401K, PTO, paid holidays, gear discounts and the ability to add value to an exciting mission!

Equal opportunity

  • Employer Protected Veteran/Disabled
  • Equal Opportunity Employer Protected Veteran/Disabled

This listing is sourced directly from Revelyst's careers page and normalized into a canonical job model.